Amyloid beta is released by lysosomal exocytosis from hiPSC-derived neurons
Bibliographic record
Abstract
Abstract The endosomal-lysosomal system has long been linked to the production of amyloid beta (Aβ), but the specific intracellular compartments involved in Aβ secretion remain contentious. While lysosomes are typically associated with Aβ degradation, studies have also shown that lysosomes also serve as site of Aβ accumulation in cells, mouse models, and human tissues. Lysosomal exocytosis is a major secretory pathway in non-neuronal cells, but few studies have investigated this pathway in neurons. Here, we examined the potential role and mechanism of lysosomal exocytosis in human induced pluripotent stem cell (hiPSC)-derived neurons, and we hypothesized that lysosomal exocytosis is a pathway for Aβ secretion from these neurons. Using total internal reflection fluorescence (TIRF) microscopy, lysosomes filled with fluorescently labelled amyloid were seen approaching and fusing with the plasma membrane in real-time. The number and composition of the released particles were characterized using nanoscale flow cytometry. Silencing two proteins, Rab27b and munc13-4, significantly reduced these events and blocked the release of amyloid into the extracellular space. Our results provide direct evidence for the involvement of lysosomal exocytosis in the release of Aβ from neurons and highlight its potential as a target for therapeutic intervention in Alzheimer’s disease.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".